Title :
Estimating 2-D angles of arrival via two parallel linear arrays
Author :
Yin, Q.Y. ; Newcomb, R.W. ; Zou, L.H.
Abstract :
A novel approach for high resolution estimates of two-dimensional (2-D) angles of arrival of multiple narrowband sources for two parallel linear arrays is presented. By fully using the properties of the autocovariance matrices, the authors construct a direction-of-arrival (DOA) matrix. The theoretical analysis shows that the eigenvalues and corresponding eigenvectors of the DOA matrix are related to the 2-D angles of arrival of sources. Thus, they can be used to estimate 2-D angles of arrival separately, and the large computations required for 2-D searches can be avoided. Simulation results are given, showing that the method yields excellent estimates with low variance
Keywords :
eigenvalues and eigenfunctions; matrix algebra; signal detection; signal processing; 2D angles of arrival estimation; array processing; autocovariance matrices; direction of arrival matrix; eigenvalues; eigenvectors; high resolution estimates; multiple narrowband sources; parallel linear arrays; Computational modeling; Control engineering; Covariance matrix; Direction of arrival estimation; Educational institutions; Eigenvalues and eigenfunctions; Narrowband; Sensor arrays; Sensor systems; Transmission line matrix methods;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.267051